Black Liquor Recovery Boiler Consumed Air Optimization, 2016 Pulping, Engineering, Environmental, Recycling, Sustainability (PEERS) Conference Proceedings
This paper describes how model predictive control techniques have been applied to optimize and improve the dynamic control of black liquor recovery boilers. Papermakers have experienced operational stability as well as efficiency improvements of 0.5-1.5% on several black liquor recovery boilers while honoring environmental and safety constraints over a range of loads through application of model predictive control. The successful implementation of the technology will be discussed.
The paper will include a brief review of the technology employed followed by a discuss ion on the objectives of consumed air optimization and the importance to papermaking operations. The technology discussion will focus on the advantages of model predictive control versus typical control strategies. The actual results of several implementations will then be presented. Operating data before and after consumed air optimization will be compared.
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